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Full Description
Renewable Energy and Process Plant's Piping and Equipment Estimating Manual is a forward-thinking guide that blends hands-on construction estimating with robust, data-driven strategies. Storm introduces tested techniques for calculating man-hours, helping professionals minimize planning and execution costs while boosting accuracy. The manual thoroughly examines contemporary estimation practices, featuring statistical analysis, real-world data, and advanced Excel modeling to produce reliable, repeatable results. It's especially relevant for renewable energy projects—including solar, geothermal, and green hydrogen—offering tailored estimating procedures and equipment scopes to handle design variability. This strategic approach empowers estimators to align estimates closely with actual field data.
In addition to the foundational principles and labor productivity analysis, the manual is structured across seventeen chapters covering a wide range of plant types and specialties from combined cycle power stations to specialized facilities like pulp and paper, wastewater treatment, and industrial package boilers. Notably, dedicated chapters focus on estimating for renewable energy sectors, delivering practical strategies for equipment installation and construction. With sample estimates and statistical applications, the book serves as an essential reference for construction estimators, engineers, and project managers seeking efficient, error-reducing estimation techniques and comprehensive analytical tools for complex projects.
Contents
1. Process Plant Estimating
2. Process and Shop Fabrication Piping
3. Combined Cycle Power Plant Equipment
4. Simple Cycle Power Plant Major Equipment
5. Hydrogen Plant Major Equipment
6. Compressor Station Major Equipment
7. Ethanol Plant Major Equipment
8. Waste Heat Boiler
9. Pulp and Paper
10. Industrial Package Boilers
11. Wastewater Treatment Plant
12. Biomass Plant Major Equipment
13. Geothermal Power Plant
14. Solar Thermal Power Plant
15. Green Hydrogen Plant Major Equipment
16. Sample Estimates
17. Statistical Applications to Construction



